Applied Scientist, Sponsored Products

Amazon logo

Amazon

full-time

Posted: October 5, 2025

Number of Vacancies: 1

Job Description

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.Key job responsibilitiesParticipate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level. Articulate potential scientific challenges of ongoing or future customers’ needs or business problems, and present interventions to address them.Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best A day in the lifeAs an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide.About the teamThe Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, & personal.

Locations

  • United States, NY, New York, New York, NY, United States
  • Canada, ON, Toronto, Toronto, ON, Canada

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

180,000 - 300,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
  • - 3+ years of building models for business application experienceintermediate
  • - Experience programming in Java, C++, Python or related languageintermediate
  • - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingintermediate
  • - Experience and understanding of GenAI-based model development as applied to video understandingintermediate

Required Qualifications

  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
  • - 3+ years of building models for business application experience (experience, 3 years)
  • - Experience programming in Java, C++, Python or related language (experience)
  • - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing (experience)
  • - Experience and understanding of GenAI-based model development as applied to video understanding (experience)

Preferred Qualifications

  • - Experience using Unix/Linux (experience)
  • - Experience in professional software development (experience)
  • - Familiarity with GenAI methods for post-training, fine-tuning, and model optimizations (experience)
  • Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)

Responsibilities

  • Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.
  • Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level.
  • Articulate potential scientific challenges of ongoing or future customers’ needs or business problems, and present interventions to address them.
  • Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best

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Applied Scientist, Sponsored Products

Amazon logo

Amazon

full-time

Posted: October 5, 2025

Number of Vacancies: 1

Job Description

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.Key job responsibilitiesParticipate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level. Articulate potential scientific challenges of ongoing or future customers’ needs or business problems, and present interventions to address them.Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best A day in the lifeAs an Applied Scientist on the Sponsored Brands Video team, you will work with a team of talented and experienced engineers, scientists, and designers to help bring new products to market and ensure that our customers are delighted by what we create. The Sponsored Brands Video team is responsible for the design, development, and implementation of Sponsored Brands Video experiences worldwide.About the teamThe Sponsored Brands Video team within Sponsored Products and Brands creates relevant and engaging video experiences, connecting advertisers and shoppers. We are on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, making shopping delightful, & personal.

Locations

  • United States, NY, New York, New York, NY, United States
  • Canada, ON, Toronto, Toronto, ON, Canada

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

180,000 - 300,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experienceintermediate
  • - 3+ years of building models for business application experienceintermediate
  • - Experience programming in Java, C++, Python or related languageintermediate
  • - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingintermediate
  • - Experience and understanding of GenAI-based model development as applied to video understandingintermediate

Required Qualifications

  • - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience (experience, 4 years)
  • - 3+ years of building models for business application experience (experience, 3 years)
  • - Experience programming in Java, C++, Python or related language (experience)
  • - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing (experience)
  • - Experience and understanding of GenAI-based model development as applied to video understanding (experience)

Preferred Qualifications

  • - Experience using Unix/Linux (experience)
  • - Experience in professional software development (experience)
  • - Familiarity with GenAI methods for post-training, fine-tuning, and model optimizations (experience)
  • Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site. (experience)

Responsibilities

  • Participate in the Science hiring process as well as mentor other scientists - improving their skills, their knowledge of your solutions, and their ability to get things done.
  • Identify and devise new video related solutions following a customer-obsessed scientific approach to address customer or business problems when the problem is ill-defined, needs to be framed, and new methodologies or paradigms need to be invented at the product level.
  • Articulate potential scientific challenges of ongoing or future customers’ needs or business problems, and present interventions to address them.
  • Independently assess alternative video related technologies, driving evaluation and adoption of those that fit best

Target Your Resume for "Applied Scientist, Sponsored Products"

Get personalized recommendations to optimize your resume specifically for Applied Scientist, Sponsored Products. Our AI analyzes job requirements and tailors your resume to maximize your chances.

Keyword optimization
Skills matching
Experience alignment

Check Your ATS Score for "Applied Scientist, Sponsored Products"

Find out how well your resume matches this job's requirements. Our Applicant Tracking System (ATS) analyzer scores your resume based on keywords, skills, and format compatibility.

Instant analysis
Detailed feedback
Improvement tips

Documents

Tags & Categories

advertising.team-applied-scienceapplied.aiamazon.artificial-intelligenceMachine Learning Science